Mechanism of pleiotropic SNP involved in reproductive phenotypes
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PROVIDER: PRJEB70890 | ENA |
REPOSITORIES: ENA
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Project description:A common allele increases endometrial Wnt4 expression, with antagonistic implications for pregnancy, reproductive cancers, and endometriosis
| PRJNA1072980 | ENA
Project description:The common human single nucleotide polymorphism rs3820282 is associated with multiple phenotypes ranging from gestational length to likelihood of endometriosis and ovarian cancer and can thus serve as a paradigm for a highly pleiotropic genetic variant. Pleiotropy makes it challenging to assign specific causal roles to particular genetic variants. Deleterious mutations in multifunctional genes may cause either the co-occurrence of multiple disorders in the same individuals (i.e., syndromes), or be repeatedly associated with a variety of disorders in a population. Moreover, the adverse effects can be in combination with advantages in other traits, maintaining high frequencies of deleterious alleles in the population. To reveal the causal role of this specific SNP, we investigated the molecular mechanisms affected by rs3820282 in mice. We have shown previously that rs3820282 introduces a high affinity estrogen receptor 1 binding site at the Wnt4 locus. Here we introduced this nucleotide substitution into the homologous site of the mouse genome by CRISPR/Cas 9 and show that this change causes a specific upregulation of Wnt4 transcription in the endometrial stromal cells (but not that of CDC42, also located close to rs3820282) during the preovulatory estrogen peak in late proestrus. Transcriptomic analysis of the whole uterus reveals broad systemic effects on uterine gene expression, including downregulation of proliferation and induction of many progesterone-regulated pro-implantation genes. The effect on proliferation is limited to the luminal epithelium, whereas other effects involve the uterine stromal compartment. We suggest that in the uterus, these changes could contribute to increased permissiveness to embryo invasion. Yet in other estrogen-responsive tissues, the same changes potentially lead to decreased resistance to invasion by cancer cells and endometriotic foci. A single molecular effect of rs3820282 on Wnt4 expression may thus underlie the various associated phenotypic effects.
2024-02-21 | GSE254989 | GEO
Project description:Genetic sharing is extensively observed for many autoimmune diseases, but the causal variants and their underlying molecular mechanisms remain largely unknown. Through systematic investigation of known autoimmune disease pleiotropic loci, we found that most of these genetic effects are transmitted from regulatory code and colocalize with hematopoietic lineage-specific expression quantitative trait loci. We used an evidence-based strategy to functionally prioritize known pleiotropic variants and identify their target genes. A top-ranked pleiotropic variant, rs4728142, yielded many lines of evidence as being causal, and regulates IRF5 transcript expression. Mechanistically, the rs4728142-containing region interacts with the IRF5 downstream alternative promoter in an allele-specific manner and orchestrates its upstream enhancer to regulate IRF5 alternative promoter usage through chromatin looping. A putative structural regulator, ZBTB3, mediates the allele-specific chromatin looping to promote IRF5 short transcript expression at the rs4728142 risk allele, resulting in IRF5 overactivation and M1 macrophage polarization. Together, our findings establish a causal mechanism between the regulatory variant and fine-scale molecular phenotype underlying the dysfunction of pleiotropic genes in human autoimmunity.
2021-03-03 | GSE168045 | GEO
Project description:Plakophilin-2 (PKP2) is a component of the desmosome complex and known for its role in cell-cell adhesion. Recently, alterations in the Pkp2 gene have been associated with different inherited cardiac conditions including Arrythmogenic Cardiomyopathy (ACM or ARVC), Brugada syndrome (BrS), and idiopathic ventricular fibrillation to name the most relevant. However, the assessment of pathogenicity regarding the genetic variations associated with Pkp2 is still a challenging task: the gene has a positive Residual Variation Intolerance Score and the potential deleterious role of several of its variants has been disputed. Limitations in facilitating interpretation and annotations of these variants are seen in the lack of segregation and clinical data in the control population of reference. In this review, we will provide a summary of all the currently available genetic information related to the Pkp2 gene, including different phenotypes, ClinVar annotations and data from large control database. Our goal is to provide a literature review that could help clinicians and geneticists in interpreting the role of Pkp2 variants in the context of heritable sudden death syndromes. Limitations of current algorithms and data repositories will be discussed.
| S-EPMC6305316 | biostudies-literature
Project description:To study the physiological role of WNT4 in the postnatal ovary, a mouse strain bearing a floxed Wnt4 allele was created and mated to the Amhr2tm3(cre)Bhr strain to target deletion of Wnt4 to granulosa cells. Wnt4flox/-;Amhr2tm3(cre)Bhr/+ mice had significantly reduced ovary weights and produced smaller litters (P<0.05). Serial follicle counting demonstrated that, while Wnt4flox/-;Amhr2tm3(cre)Bhr/+ mice were born with a normal ovarian reserve and maintained normal numbers of small follicles until puberty, they had only 25.2% of the normal number of healthy antral follicles. Some Wnt4flox/-;Amhr2tm3(cre)Bhr/+ mice had no antral follicles or corpora lutea and underwent premature follicle depletion. RTPCR analyses of Wnt4flox/-;Amhr2tm3(cre)Bhr/+ granulosa cells and cultured granulosa cells that overexpress WNT4 demonstrated that WNT4 regulates the expression of Star, Cyp11a1 and Cyp19, steroidogenic genes previously identified as downstream targets of the WNT signaling effector CTNNB1. WNT4- and CTNNB1-overexpressing cultured granulosa cells were analyzed by microarray for alterations in gene expression, which showed that WNT4 also regulates a series of genes involved in late follicle development and the cellular stress response via the WNT/CTNNB1 signaling pathway. Together, these data indicate that WNT4 is required for normal antral follicle development, and may act by regulating granulosa cell functions including steroidogenesis.
2009-10-23 | GSE18704 | GEO
Project description:Discovering pleiotropic loci is important to understand the biological basis of seemingly distinct phenotypes. Most methods for assessing pleiotropy only test for the overall association between genetic variants and multiple phenotypes. To determine which specific traits are pleiotropic, we evaluate via simulation and application three different strategies. The first is model selection techniques based on the inverse regression of genotype on phenotypes. The second is a subset-based meta analysis ASSET [Bhattacharjee et al., ], which provides an optimal subset of nonnull traits. And the third is a modified Benjamini-Hochberg (B-H) procedure of controlling the expected false discovery rate [Benjamini and Hochberg, ] in the framework of phenome-wide association study. From our simulations we see that an inverse regression-based approach MultiPhen [O'Reilly et al., ] is more powerful than ASSET for detecting overall pleiotropic association, except for when all the phenotypes are associated and have genetic effects in the same direction. For determining which specific traits are pleiotropic, the modified B-H procedure performs consistently better than the other two methods. The inverse regression-based selection methods perform competitively with the modified B-H procedure only when the phenotypes are weakly correlated. The efficiency of ASSET is observed to lie below and in between the efficiency of the other two methods when the traits are weakly and strongly correlated, respectively. In our application to a large GWAS, we find that the modified B-H procedure also performs well, indicating that this may be an optimal approach for determining the traits underlying a pleiotropic signal.
| S-EPMC4929010 | biostudies-literature
Project description:Background. Endometriosis is a common, complex disorder which is underrecognized and subject to prolonged delays in diagnosis. It is accompanied by significant changes in the eutopic endometrial lining. Methods . We have undertaken the first single cell RNA-sequencing (scRNA-Seq) comparison of endometrial tissues in freshly collected menstrual effluent (ME) from 33 subjects, including confirmed endometriosis patients (cases) and controls as well as symptomatic subjects (who have chronic symptoms of endometriosis but have not been diagnosed). Results . We identify a unique subcluster of proliferating uterine natural killer (uNK) cells in ME-tissues from controls that is almost absent from endometriosis cases, along with a striking reduction of total uNK cells in the ME of cases (p<10 -16 ). In addition, an IGFBP1+ decidualized subset of endometrial stromal cells are abundant in the shed endometrium of controls when compared to cases (p<10 -16 ) confirming findings of compromised decidualization of cultured stromal cells from cases. By contrast, endometrial stromal cells from cases are enriched in cells expressing pro-inflammatory and senescent phenotypes. An enrichment of B cells in the cases (p=5.8 x 10 -6 ) raises the possibility that some may have chronic endometritis, a disorder which predisposes to endometriosis. Conclusions . We propose that characterization of endometrial tissues in ME will provide an effective screening tool for identifying endometriosis in patients with chronic symptoms suggestive of this disorder. This constitutes a major advance, since delayed diagnosis for many years is a major clinical problem in the evaluation of these patients. Comprehensive analysis of ME is expected to lead to new diagnostic and therapeutic approaches to endometriosis and other associated reproductive disorders such as female infertility.
2022-09-21 | GSE203191 | GEO
Project description:The study profiles endometrial samples from donors in reproductive age with and without endometriosis collected during natural cycles. Samples where profiled with Visium Spatial transcriptomics using 10x technology (v1 3').
2024-05-13 | E-MTAB-14058 | biostudies-arrayexpress
Project description:BackgroundAdvances in genotyping and phenotyping techniques have enabled the acquisition of a great amount of data. Consequently, there is an interest in multivariate statistical analyses that identify genomic regions likely to contain causal mutations affecting multiple traits (i.e., pleiotropy). As the demand for multivariate analyses increases, it is imperative that optimal tools are available to assess their performance. To facilitate the testing and validation of these multivariate approaches, we developed simplePHENOTYPES, an R/CRAN package that simulates pleiotropy, partial pleiotropy, and spurious pleiotropy in a wide range of genetic architectures, including additive, dominance and epistatic models.ResultsWe illustrate simplePHENOTYPES' ability to simulate thousands of phenotypes in less than one minute. We then provide two vignettes illustrating how to simulate sets of correlated traits in simplePHENOTYPES. Finally, we demonstrate the use of results from simplePHENOTYPES in a standard GWAS software, as well as the equivalence of simulated phenotypes from simplePHENOTYPES and other packages with similar capabilities.ConclusionssimplePHENOTYPES is a R/CRAN package that makes it possible to simulate multiple traits controlled by loci with varying degrees of pleiotropy. Its ability to interface with both commonly-used marker data formats and downstream quantitative genetics software and packages should facilitate a rigorous assessment of both existing and emerging statistical GWAS and GS approaches. simplePHENOTYPES is also available at https://github.com/samuelbfernandes/simplePHENOTYPES .
| S-EPMC7603745 | biostudies-literature
Project description:To study the physiological role of WNT4 in the postnatal ovary, a mouse strain bearing a floxed Wnt4 allele was created and mated to the Amhr2tm3(cre)Bhr strain to target deletion of Wnt4 to granulosa cells. Wnt4flox/-;Amhr2tm3(cre)Bhr/+ mice had significantly reduced ovary weights and produced smaller litters (P<0.05). Serial follicle counting demonstrated that, while Wnt4flox/-;Amhr2tm3(cre)Bhr/+ mice were born with a normal ovarian reserve and maintained normal numbers of small follicles until puberty, they had only 25.2% of the normal number of healthy antral follicles. Some Wnt4flox/-;Amhr2tm3(cre)Bhr/+ mice had no antral follicles or corpora lutea and underwent premature follicle depletion. RTPCR analyses of Wnt4flox/-;Amhr2tm3(cre)Bhr/+ granulosa cells and cultured granulosa cells that overexpress WNT4 demonstrated that WNT4 regulates the expression of Star, Cyp11a1 and Cyp19, steroidogenic genes previously identified as downstream targets of the WNT signaling effector CTNNB1. WNT4- and CTNNB1-overexpressing cultured granulosa cells were analyzed by microarray for alterations in gene expression, which showed that WNT4 also regulates a series of genes involved in late follicle development and the cellular stress response via the WNT/CTNNB1 signaling pathway. Together, these data indicate that WNT4 is required for normal antral follicle development, and may act by regulating granulosa cell functions including steroidogenesis. Experiment Overall Design: Granulosa cells were obtained from 20-26 day-old mice of various genotypes 48h after eCG treatment, using the needle puncture method as previously described. Cells were then infected with adenoviruses to express eGFP or Cre, or overexpress WNT4 in serum-free medium, and subsequently harvested for RNA extraction as described below. Preliminary experiments demonstrated that an infection efficiency of >80% could be obtained at an MOI of ~50 (as determined by analysis of fluorescent signal in Ad-eGFP-infected cells) and that the Ad-Cre and Ad-WNT4 viruses produced efficient recombination of the floxed Ctnnb1 alleles and robust WNT4 overexpression, respectively. Microarray analyses were done using triplicate RNA samples from each adenoviral treatment described above, and using mouse expression set 430 microarrays (Affymetrix, Santa Clara, CA).
2009-11-07 | E-GEOD-18704 | biostudies-arrayexpress